Decision-making and Fuzzy Temporal Logic
January 07, 2019 Β· Declared Dead Β· π arXiv.org
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Authors
JosΓ© ClΓ‘udio do Nascimento
arXiv ID
1901.01970
Category
cs.AI: Artificial Intelligence
Cross-listed
econ.TH,
math.LO
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper shows that the fuzzy temporal logic can model figures of thought to describe decision-making behaviors. In order to exemplify, some economic behaviors observed experimentally were modeled from problems of choice containing time, uncertainty and fuzziness. Related to time preference, it is noted that the subadditive discounting is mandatory in positive rewards situations and, consequently, results in the magnitude effect and time effect, where the last has a stronger discounting for earlier delay periods (as in, one hour, one day), but a weaker discounting for longer delay periods (for instance, six months, one year, ten years). In addition, it is possible to explain the preference reversal (change of preference when two rewards proposed on different dates are shifted in the time). Related to the Prospect Theory, it is shown that the risk seeking and the risk aversion are magnitude dependents, where the risk seeking may disappear when the values to be lost are very high.
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